Variance Reduction of Sequential Monte Carlo Approach for GNSS Phase Bias Estimation

Variance Reduction of Sequential Monte Carlo Approach for GNSS Phase Bias Estimation

Global navigation satellite systems (GNSS) are an important tool for positioning, navigation, and timing (PNT) services. The fast and high-precision GNSS data processing relies on reliable integer ambiguity fixing, whose performance depends on phase bias estimation. However, the mathematic model of...

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Bibliographic Details
Main Authors: Yumiao Tian, Maorong Ge, Frank Neitzel
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Mathematics
Subjects:
GNSS phase bias
sequential quasi-Monte Carlo
variance reduction
Online Access:https://www.mdpi.com/2227-7390/8/4/522

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